Imposter phenomena (IP) is when an individual experiences unwarranted feelings of inadequacy in relation to their own abilities. Often linked to self-efficacy, individuals who experience IP doubt their own skills and ...

The aggregate black-box approach of conventional Data Envelopment Analysis (DEA) limits its usefulness in situations where the observation is the result of independent decision making in sub-units (sub-DMUs), sequentially ...

Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper presents an improved adaptive neural network together with heuristic methods for job-shop scheduling problems. The ...

This paper presents an improved constraint satisfaction adaptive neural network for job-shop scheduling problems. The neural network is constructed based on the constraint conditions of a job-shop scheduling problem. Its ...

Infrared (IR) measurements of the surface temperature of electronic devices have improved over the last decade. However, to obtain more accurate surface temperatures the devices are often coated with a high emissivity ...

The multi-objective evolutionary algorithm based on decomposition (MOEA/D) has shown to be very efficient in solving multi-objective optimization problems (MOPs). In practice, the Pareto-optimal front (POF) of many MOPs ...

Measuring occupancy can facilitate energy efficiency in non-domestic buildings, when control systems are able to adjust heating and cooling based on demand rather than fixed schedules. The variable “occupancy profile” ...

Upcoming deployments of Vehicular Ad Hoc Networks (VANETs) in Europe are
expected to sign and verify packets secured by cryptographic signatures by default. Thus, when
VANET simulations are used for development and test ...